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PubMed2005

The distribution of SNPs in human gene regulatory regions.

BACKGROUND: As a result of high-throughput genotyping methods, millions of human genetic variants have been reported in recent years. To efficiently identify those with significant biological functions, a practical strategy is to concentrate on variants located in important sequence regions such as gene regulatory regions. RESULTS: Analysis of the most common type of variant, single nucleotide polymorphisms (SNPs), shows that in gene promoter regions more SNPs occur in close proximity to transcriptional start sites than in regions further upstream, and a disproportionate number of those SNPs represent nucleotide transversions. Additionally, the number of SNPs found in the predicted transcription factor binding sites is higher than in non-binding site sequences. CONCLUSION: Current information about transcription factor binding site sequence patterns may not be exhaustive, and SNPs may be actively involved in influencing gene expression by affecting the transcription factor binding sites.

Binding Sites↗
PubMed2006

An evaluation of the performance of tag SNPs derived from HapMap in a Caucasian population.

The Haplotype Map (HapMap) project recently generated genotype data for more than 1 million single-nucleotide polymorphisms (SNPs) in four population samples. The main application of the data is in the selection of tag single-nucleotide polymorphisms (tSNPs) to use in association studies. The usefulness of this selection process needs to be verified in populations outside those used for the HapMap project. In addition, it is not known how well the data represent the general population, as only 90-120 chromosomes were used for each population and since the genotyped SNPs were selected so as to have high frequencies. In this study, we analyzed more than 1,000 individuals from Estonia. The population of this northern European country has been influenced by many different waves of migrations from Europe and Russia. We genotyped 1,536 randomly selected SNPs from two 500-kbp ENCODE regions on Chromosome 2. We observed that the tSNPs selected from the CEPH (Centre d'Etude du Polymorphisme Humain) from Utah (CEU) HapMap samples (derived from US residents with northern and western European ancestry) captured most of the variation in the Estonia sample. (Between 90% and 95% of the SNPs with a minor allele frequency of more than 5% have an r2 of at least 0.8 with one of the CEU tSNPs.) Using the reverse approach, tags selected from the Estonia sample could almost equally well describe the CEU sample. Finally, we observed that the sample size, the allelic frequency, and the SNP density in the dataset used to select the tags each have important effects on the tagging performance. Overall, our study supports the use of HapMap data in other Caucasian populations, but the SNP density and the bias towards high-frequency SNPs have to be taken into account when designing association studies.

Alleles↗
PubMed2006

Allele frequency matching between SNPs reveals an excess of linkage disequilibrium in genic regions of the human genome.

Significant interest has emerged in mapping genetic susceptibility for complex traits through whole-genome association studies. These studies rely on the extent of association, i.e., linkage disequilibrium (LD), between single nucleotide polymorphisms (SNPs) across the human genome. LD describes the nonrandom association between SNP pairs and can be used as a metric when designing maximally informative panels of SNPs for association studies in human populations. Using data from the 1.58 million SNPs genotyped by Perlegen, we explored the allele frequency dependence of the LD statistic r(2) both empirically and theoretically. We show that average r(2) values between SNPs unmatched for allele frequency are always limited to much less than 1 (theoretical approximately 0.46 to 0.57 for this dataset). Frequency matching of SNP pairs provides a more sensitive measure for assessing the average decay of LD and generates average r(2) values across nearly the entire informative range (from 0 to 0.89 through 0.95). Additionally, we analyzed the extent of perfect LD (r(2) = 1.0) using frequency-matched SNPs and found significant differences in the extent of LD in genic regions versus intergenic regions. The SNP pairs exhibiting perfect LD showed a significant bias for derived, nonancestral alleles, providing evidence for positive natural selection in the human genome.

Animals↗
PubMed2001

The relative power of SNPs and haplotype as genetic markers for association tests.

Identifying the polymorphisms that contribute to disease predisposition and drug response is a major goal of the post-genome era. Single nucleotide polymorphisms (SNPs) in disease-related genes are often used as candidates in the search for causative variations. Association tests based on haplotypes have also been suggested and, at times, have provided greater statistical power than tests based on the underlying SNPs. Here we review the statistical model traditionally used to describe association studies for complex traits and derive novel results for the relative power of SNP-based and haplotype-based tests of association. In the model, a set of independent SNP-based variations, some of which contribute to a measured phenotype, may be used as markers directly or may be organised into haplotype markers. Provided that the marker set includes all the causative SNPs, we find a simple rule for the relative power of SNP and haplotype markers: SNP-based tests have greater power when the number of causative SNPs (a subset of the total set of SNPs) is smaller than the total number of haplotypes. Furthermore, we find that regression tests for the simple main effect of each haplotype are generally more powerful than ANOVA tests applied to haplotype pairs. A review of recent literature supports our findings.

Analysis of Variance↗
PubMed2002

Twenty one novel single nucleotide polymorphisms (SNPs) of the CYP2A6 gene in Japanese and Caucasians.

We sequenced all nine exons and exon-intron junctions of the CYP2A6 gene from 33 Japanese and 28 Caucasians. We found twenty one single nucleotide polymorphisms (SNPs) including four SNPs causing amino acid substitutions, one silent SNP in exon 5, one SNP in a 5'-flanking region, four SNPs in a 3'-untranslated region, and eleven SNPs in introns. The four mutations (13G>A and 86G>A in exon 1, and 2134A>G and 2161C>T in exon 4) causing amino acid substitutions (Gly(5)Arg, Ser(29)Asn, Lys(194)Glu, and Arg(203)Ser), respectively, were as follows: SNP, 020719Kiyotani004; GENE NAME, CYP2A6; ACCESSION NUMBER, NG_000008.4; LENGTH, 25 base; 5'-ATGCTGGCCTCAG/AGGATGCTTCTGG-3'. SNP, 020719Kiyotani005; GENE NAME, CYP2A6; ACCESSION NUMBER, NG_000008.4; LENGTH, 25 base; 5'-AGCAGAGGAAGAG/ACAAGGGGAAGCT-3'. SNP, 020719Kiyotani011; GENE NAME, CYP2A6; ACCESSION NUMBER, NG_000008.4; LENGTH, 25 base; 5'-CGCTTTGACTATA/GAGGACAAAGAGT-3'. SNP, 020719Kiyotani012; GENE NAME, CYP2A6; ACCESSION NUMBER, NG_000008.4; LENGTH, 25 base; 5'-CTGTCACTGTTGC/TGCATGATGCTAG-3'. New alleles having these SNPs were designated as CYP2A6( *)13-CYP2A6( *)16.

Journal Article↗
PubMed2006

SNPs in the porcine PPARGC1a gene: interbreed differences and their phenotypic effects.

Due to its function, the peroxisome proliferative activated receptor-gamma, coactivator-1alpha (PPARGC1A) gene is a candidate in the search for genes that may affect production traits in the pig. The purpose of this study was to screen for new SNPs in exon 8 of the porcine PPARGC1A gene and to test their possible association with production traits. Altogether 736 pigs representing five breeds Polish Landrace, n=242; Polish Large White, n=192; Hampshire, n=27; Duroc, 21; Pietrain, n=12) and synthetic line 990 (n=242) were scanned via SSCP assay. Four SNPs were found; two new ones: C/G (His338Gln) and G/A Thr359Thr), and two previously reported ones: C/A (Arg369Arg) and T/A Cys430Ser). The missense T/A and C/G SNPs demonstrated pronounced interbreed variability in terms of allele frequencies, including the exclusive presence of the C/G substitution in the Hampshire breed. The tested SNPs occurred in five putative haplotypes, and their frequency also differed substantially between breeds. The association of the SNPs with production traits was tested for G/A (Thr359Thr), C/A (Arg369Arg) and T/A (Cys430Ser) substitutions in Polish Large White, Polish Landrace and line 990. The analysis revealed only breed-specific associations. The T/A (Cys430Ser) SNP was related to the feed conversion ratio in the Polish Large White (P=0.02), and the silent G/A and C/A substitutions were respectively associated with abdominal fat in line 990 and backfat thickness in Polish Landrace (P=0.04). The combined effects of the substitutions were estimated as haplotype effects. Three significant contrasts between haplotypes were calculated, but the observed associations were again only breed-specific.

Animals↗
PubMed2004

Effect of SNPs in protein kinase C zeta gene on gene expression in the reporter gene detection system.

AIM: To investigated the effects of the SNPs (rs411021, rs436045, rs427811, rs385039 and rs809912) on gene expression and further identify the susceptibility genes of type 2 diabetes. METHODS: Ten allele fragments (49 bp each) were synthesized according to the 5 SNPs mentioned above. These fragments were cloned into luciferase reporter gene vector and then transfected into HepG2 cells. The activity of the luciferase was assayed. Effects of the SNPs on RNA splicing were analyzed by bioinformatics. RESULTS: rs427811T allele and rs809912G allele enhanced the activity of the reporter gene expression. None of the 5 SNPs affected RNA splicing. CONCLUSION: SNPs in protein kinase Cz (PKCZ) gene probably play a role in the susceptibility to type 2 diabetes by affecting the expression level of the relevant genes.

Base Sequence↗
PubMed2004

Selecting SNPs for association studies based on population frequencies: a novel interactive tool and its application to polygenic diseases.

Common complex polygenic diseases as autoimmune diseases have not been completely understood on a molecular level. While many genes are known to be involved in the pathways responsible for the phenotype, explicit causes for the susceptibility of the disease remain to be elucidated. The susceptibility to disease is thought to be the result of genetic epistatic interactions between common polymorphic genes. This polymorphism is mostly caused by single nucleotide polymorphisms (SNPs). Human subpopulations are known to differ in the susceptibility to the diseases and generally in the distribution of single nucleotide polymorphisms. The here presented approach retrieves SNPs with the most divergent frequencies for selected human subpopulations to help defining properties for the experimental verification of SNPs within defined regions. A web-accessible program implementing this approach was evaluated for multiple sclerosis (MS), a common human polygenic disease. A link to a summary of data from "The SNP Consortium" (TSC) with sex-dependencies of SNPs is available. Associations of SNPs to genes, genetic markers and chromosomal loci are retrieved from the Ensembl project. This tool is recommended to be used in conjunction with microarray analyses or marker association studies that link genes or chromosomal loci to particular diseases.

Gene Frequency↗
PubMed2006

Pooled association genome scanning for alcohol dependence using 104,268 SNPs: validation and use to identify alcoholism vulnerability loci in unrelated individuals from the collaborative study on the genetics of alcoholism.

Association genome scanning can identify markers for the allelic variants that contribute to vulnerability to complex disorders, including alcohol dependence. To improve the power and feasibility of this approach, we report validation of "100k" microarray-based allelic frequency assessments in pooled DNA samples. We then use this approach with unrelated alcohol-dependent versus control individuals sampled from pedigrees collected by the Collaborative Study on the Genetics of Alcoholism (COGA). Allele frequency differences between alcohol-dependent and control individuals are assessed in quadruplicate at 104,268 autosomal SNPs in pooled samples. One hundred eighty-eight SNPs provide (1) the largest allele frequency differences between dependent versus control individuals; (2) t values >or= 3 for these differences; and (3) clustering, so that 51 relatively small chromosomal regions contain at least three SNPs that satisfy criteria 1 and 2 above (Monte Carlo P = 0.00034). These positive SNP clusters nominate interesting genes whose products are implicated in cellular signaling, gene regulation, development, "cell adhesion," and Mendelian disorders. The results converge with linkage and association results for alcohol and other addictive phenotypes. The data support polygenic contributions to vulnerability to alcohol dependence. These SNPs provide new tools to aid the understanding, prevention, and treatment of alcohol abuse and dependence.

Alcoholism↗
PubMed2006

QSNPlite, a software system for quantitative analysis of SNPs based on capillary array SSCP analysis.

We present a newly developed software called "QSNPlite" that comprehensively interprets the data of SSCP and sequencing analyses obtained from capillary array electrophoresis systems used in the quantitative characterization of SNPs. QSNPlite assists in the genotyping of individuals with SNPs and in estimating the allele frequencies of SNPs using pooled DNA. We show that this estimation is accurate (mean absolute error, 1.4%) by comparing the results of the pooled analysis using QSNPlite with the true frequencies based on the allele counting after performing individual genotypings. The QSNPlite program runs on Windows XP and can be used to determine the allele frequencies of SNPs among a large number of individuals, such as in association studies of disease-responsible genes using the candidate gene approach.

Electrophoresis, Capillary↗
PubMed2003

Haplotype sharing analysis with SNPs in candidate genes: the Genetic Analysis Workshop 12 example.

Haplotype sharing analysis was used to investigate the association of affection status with single nucleotide polymorphism (SNP) haplotypes within candidate gene 1 in one sample each from the isolated and the general population of Genetic Analysis Workshop (GAW) 12 simulated data. Gene 1 has direct influence on affection and harbors more than 70 SNPs. Haplotype sharing analysis depends heavily on previous haplotype estimation. Using GENEHUNTER haplotypes, strong evidence was found for most SNPs in the isolated population sample, thus providing evidence for an involvement of this gene, but the maximum -log(10)(p) values for the haplotype sharing statistics (HSS) test statistic did not correspond to the location of the true variant in either population. In comparison, transmission disequilibrium test (TDT) analysis showed the strongest results at the disease-causing variant in both populations, and these were outstanding in the general population. In this example, TDT analysis appears to perform better than HSS in identifying the disease-causing variant, using SNPs within a candidate gene in an outbred population. Simulations showed that the performance of HSS is hampered by closely spaced SNPs in strong linkage disequilibrium with the functional variant and by ambiguous haplotypes.

Chromosome Mapping↗
PubMed2006

Validation of the use of DNA pools and primer extension in association studies of sporadic colorectal cancer for selection of candidate SNPs.

Colorectal cancer (CRC) is a multifactorial disease that involves both lifestyle and genetic factors. To identify single nucleotide polymorphisms (SNPs) associated with sporadic CRC, we used pooled DNA samples representing 230 cases with sporadic CRC and 540 controls. The allele frequency of the SNPs was estimated in the two pools using a genotyping method based on primer extension and capillary electrophoresis (CE). The sensitivity of the method was high, which permitted the detection of an odds ratio (OR) of 1.5. Validation of the method showed that it is robust, linear, sensitive, and reproducible. Of the 224 SNPs investigated, 20 potential candidates associated with CRC were identified, including IL6 -174G>C (g.22062318G>C), XRCC1 c.685 C>T (p.Arg194Trp), PPARGC1A g.92945042C>T (3'UTR 96516), GSTP1 c.342A>C (p.Ile105Val), GSTM1 c.573C>G (p.Lys173Asn), and SULT1A1 g.19934792G>A (p.Arg213His). All were borderline significant, and none were significant at the 5% level. A high number of the SNPs (40%) were not polymorphic in our population. We conclude that instead of looking for single risk factors, investigators should examine individual combinations of potential risk factors to clarify the genetic predisposition to CRC.

Aged↗
PubMed2002

Novel O6-methylguanine-DNA methyltransferase SNPs: a frequency comparison of patients with familial melanoma and healthy individuals in Sweden.

The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) is involved in the cellular defense against alkylating agents. Genetic alterations in the MGMT gene may impair the protein's ability to remove alkyl groups from the O6-position of guanine, thereby raising the mutation rate and increasing the risk of cancer. We assessed polymorphisms in the promoter region and the 5 exons of the MGMT gene by PCR/SSCP and nucleotide sequence analysis of DNA extracted from blood samples. The population studied consisted of 89 melanoma patients, each belonging to a different family with a hereditary predisposition for melanoma, and 76 healthy individuals (blood donors). A total of 11 single nucleotide polymorphisms (SNPs) were detected, five in the promoter region, one in exon 1, two in exon 3 and three in exon 5. Six of the alterations were novel polymorphisms, of which five were located in the promoter region and one in exon 5. When the distribution of specific SNPs in cases and controls with only one variant was calculated; C575A was present only in melanoma patients (p=0.072). Moreover, while 20% of the healthy individuals had no SNPs this was the case in only 12.4% of the melanoma patients. However, no statistically significant differences were seen between cases and controls for any of the 11 SNPs.

Base Sequence↗
PubMed2005

Large-scale characterization of public database SNPs causing non-synonymous changes in three ethnic groups.

Single nucleotide polymorphisms (SNPs) that lead to non-synonymous changes in proteins may have functional effects and be subject to selection. Hence they are of particular interest in the study of genetic diseases. We have genotyped approximately 28,000 such SNPs in three ethnic populations (the HapMap plates) and ten primate species and analyzed these data for evidence of selection. We find SNPs predicted by PolyPhen to be damaging, have lower allele frequencies, and are particularly likely to be population-specific. We have also grouped SNPs by molecular function or biological process of the associated genes and find evidence that selection may be acting in concert on classes of genes.

Animals↗
PubMed2000

Association studies of 33 single nucleotide polymorphisms (SNPs) in 29 candidate genes for bronchial asthma: positive association a T924C polymorphism in the thromboxane A2 receptor gene.

Although intensive studies have attempted to elucidate the genetic background of bronchial asthma (BA), one of the most common of the chronic inflammatory diseases in human populations, genetic factors associated with its pathogenesis are still not well understood. We surveyed 29 possible candidate genes for this disease for single nucleotide polymorphisms (SNPs), the most frequent type of genetic variation, in genomic DNAs from Japanese BA patients. We identified 33 SNPs, only four of which had been reported previously, among 14 of those genes. We also performed association studies using 585 BA patients and 343 normal controls for these SNPs. Of the 33 SNPs tested, 32 revealed no positive association with BA, but a T924C polymorphism in the thromboxane A2 receptor gene showed significant association (chi2=4.71, P=0.030), especially with respect to adult patients (chi2=6.20, P=0.013). Our results suggest that variants of the TBXA2R gene or some nearby gene(s) may play an important role in the pathogenesis of adult BA.

Alleles↗
PubMed2000

Identification of 187 single nucleotide polymorphisms (SNPs) among 41 candidate genes for ischemic heart disease in the Japanese population.

To investigate whether common variants in the human genetic background are associated with pathogenesis of ischemic heart diseases, we systematically surveyed 41 possible candidate genes for single-nucleotide polymorphisms (SNPs) by directly sequencing 96 independent alleles at each locus, derived from 48 unrelated Japanese patients with myocardial infarction, including 25.8 kb 5' flanking regions, 56.8 kb exonic and 35.4 kb intronic sequences, and 1.8 kb 3' flanking regions. In this genomic DNA of nearly 120 kb, we identified 187 SNPs: 55 in 5' flanking regions, seven in 5' untranslated regions (UTRs), 52 in coding elements, 64 in introns, eight in 3' UTRs, and one in a 3' flanking region. Among the 52 coding SNPs, 26 were non-synonymous changes. Allelic frequencies of some of the polymorphisms were significantly different from those reported in European populations. For example, the Q506R substitution in the coagulation factor V gene, the so-called "Leiden mutation", has a reported frequency of 2.3% in Europeans, but we detected the Leiden mutation in none of the Japanese genomes that we investigated. The allelic frequencies of the -33A>G SNP in the thrombomodulin gene were also very different; this allele occurred at a 12% frequency in the Japanese patients that we examined, although it had been detected in none of 82 Caucasians reported previously. These data support the hypothesis that some SNPs are specific to particular ethnic groups.

3' Untranslated Regions↗
PubMed2002

Catalog of 77 single-nucleotide polymorphisms (SNPs) in the carbohydrate sulfotransferase 1 (CHST1) and carbohydrate sulfotransferase 3 (CHST3) genes.

Individual phenotypes with respect to drug response or toxicity often result from genetic variations that alter drug metabolism. We have been focusing on genomic loci that encode various enzymes and transporters involved in the metabolism of drugs, and have described more than 1200 single-nucleotide polymorphisms (SNPs) and other variations. Regarding the carbohydrate sulfotransferase (CHST) gene family, we have already constructed high-density SNP maps of three genomic segments that included CHST2, CHST4, and CHST5, providing a total of 28 SNPs for those loci. In the present study, we screened DNA from 48 healthy Japanese volunteers for SNPs at the CHST1 and CHST3 gene loci, by means of direct sequencing combined with a polymerase chain reaction method for amplifying genomic DNA, and characterized 77 SNPs and four insertion-deletion polymorphisms. The collection of human variations presented here adds to the archive of tools now available for investigating complex genetic diseases, population migration patterns, and a variety of pharmacogenetic possibilities.

DNA↗
PubMed2005

Identification of 156 novel SNPs in 29 genes encoding G-protein coupled receptors.

We have been performing extensive screening on single nucleotide polymorphisms (SNPs) in and around genes encoding drug metabolizing enzymes, transporters, and receptors and have constructed the high-density SNP maps of such gene regions. In addition to genetic information reported earlier, we identified a total of 390 genetic variations, 358 SNPs and 32 genetic variations of other types, detected in 29 genes encoding G-protein coupled receptors in Japanese populations. Following a comparison of our data with SNPs in the dbSNP database in the US National Center for Biotechnology Information, 156 SNPs from these gene loci are considered to be novel. The fine-scale SNP maps constructed in this study should serve an important resource for studies of linkage-disequilibrium mapping for complex genetic diseases and drug-response phenotypes.

DNA↗